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Having got my NHS Winter sitrep data scraper into shape (I think!), and dabbled with a quick Shiny demo using the R/Shiny library, I thought I’d tidy it up a little over the weekend and long the way learn a few new presentation tricks. To quickly recap the data availability, the NHS publish a weekly

This is a follow on from the post Using apply sapply and lappy in R.The dataset we are using was created like so:m <- matrix(data=cbind(rnorm(30, 0), rnorm(30, 2), rnorm(30, 5)), nrow=30, ncol=3)Three columns of 30 observations, normally distributed with means of 0, 2 and 5. We want a density plot to compare the distributions of the three columns...

I’ve recently been considering the graphical presentation of data. I get the feeling that we, ecologists/scientsits, could be better at data presentation. Graphs must be informative, but they don’t have to be ugly. I think that making visually appealing charts … Continue reading →

On November, the 27th, a special post took my interest. Scott Mutchler presented a small framework for predictive analytics based on the PMML (Predictive Model Markup Language) and a Java-based REST-Interface. PMML is a XML based standard for the description and exchange of analytical models. The idea is that every piece of software which supports the corresponding...

In case you missed them, here are some articles from November of particular interest to R users. In the webinar "Real-Time Predictive Analytics with Big Data", I showed how R fits into a real-time production system. R package developer Yihui Xie shares his favorite software and hardware in an interview with The Setup. Hadley Wickham created a handy tutorial...

Statistical plots drawn with the ggplot2 package generate numerous grid grobs and viewports which are labelled and organised into a coherent hierarchy. This report describes an example that shows how to manipulate the grobs and viewports in a ggplot2 plot … Continue reading →

A few quick plots of West Baltimore neighborhoods, first Sandtown-Winchester: and Harlem Park: These aren’t very polished, I’ll put up better versions. Here’s the code for those that want it: ## gis libraries library(spBayes) library(MBA) library(geoR) library(fields) library(sp) library(maptools) library(rgdal)...

One of the key predictors in my model for this crime project I’m working on is vacant houses and lots. I’ll speak to some findings about the relationship between levels of the different types of crime and vacant property in...

So, I really think this one is pretty cool. We spend much of our time in R making graphs with data, but what if you have a theory that you’d like to express graphically? Something like what I’ll call “economics-style” graphs, i...